Search result for Examples of data manipulation Online Courses & Certifications
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Clinical Data Models and Data Quality Assessments
by Laura K. Wiley, PhD , Michael G. Kahn, MD, PhD- 4.2
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Approx. 17 hours to complete
This course aims to teach the concepts of clinical data models and common data models. A Quick Tour of a Common Data Model: i2b2 A Quick Tour of a Common Data Model: OMOP A Quick Tour of a Common Data Model: Sentinel A Quick Tour of a Common Data Model: PCORNet...
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
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Approx. 17 hours to complete
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries....
Introduction to Web Cartography: Part 2
by Lorenz Hurni- 0.0
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6 Weeks
Explore the fascinating world of Web Cartography and learn how to produce web maps yourself. Want to produce cartographic visualizations to better communicate the results of your project or research? Map data manipulation and web-friendly data formats Combine powerful visualization components and a data-driven approach to DOM manipulation Basics of 3D graphics...
$50
Data Visualization with Tableau Project
by Suk S. Brar, M.B.A. , Hunter Whitney- 4.6
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Approx. 12 hours to complete
In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. Examples of Single Frame Visualizations Examples of Multi-Frame Data Stories Tell the Story of Your Data Assess the quality of the data and perform exploratory analysis...
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
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Approx. 20 hours to complete
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. (Cool Stuff in) Data Data management and manipulation...
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
by Eric Siegel- 4.9
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Approx. 14 hours to complete
Five colorful examples of behavioral data for workforce analytics The predictive value of social media data Merging in other sources of data Data cleansing: what kind of noise is okay? Five colorful examples of behavioral data for workforce analytics The predictive value of social media data Merging in other sources of data...
Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Solution Structures of Spatial Data Science Problems...
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Surveillance Systems: Analysis, Dissemination, and Special Systems
by Stefan Baral, MD, MPH, MBA, FRCPC- 4.7
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Approx. 6 hours to complete
We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. Summary of Analysis and Interpretation of Surveillance Data Analyses of Surveillance Data Flow of Surveillance Data and Privacy Issues...
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
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Approx. 7 hours to complete
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. The course covers terminology and concepts, tools and methods, use cases and success stories of data science applications....
Lazy Trading Part 4: Reinforcement Learning Trading Control
by Vladimir Zhbanko- 4.1
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3 hours on-demand video
About the Lazy Trading Courses:This series of courses is designed to to combine fascinating experience of Algorithmic Trading and at the same time to learn Computer and Data Science! Particular focus is made on building Decision Support System that can help to automate a lot of boring processes related to Trading and also learn Data Science. Data manipulation using 'pipe' operator and 'dplyr' package in R...
$12.99
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